Abstract: An artificial intelligence-based injection molding system in which molding conditions can be changed to manufacture fair-quality products when defective products are manufactured because of disturbances during the injection molding including an injection molding machine which performs injection molding by injecting a molding material into a mold; an injection state data acquisition unit for acquiring, during injection molding, current injection state data that includes the viscosity profile of the molding material injected into the mold and/or the injection pressure value thereof; a determination unit, which inputs the current injection state data into a molding quality maintenance model trained with predetermined target injection state data, so as to determine whether to maintain molding quality; and a molding condition setting unit for changing a preset molding condition so that the current injection state data follows the target injection state data, when the determination unit determines not to maintain t

Abstract: An artificial intelligence-based injection molding system comprising a standard data extraction unit for extracting target standard data of a product produced by a mold from mold information about the mold to which a molding material is supplied; a molding condition output unit inputting the extracted target standard data into a pre-learned molding condition generation model to output a molding condition; an injection molding device, supplying the molding material to the mold according to the molding condition to produce the product; and a determination unit, comparing production standard data of the produced product and the target standard data to determine whether the molding condition is appropriate, wherein, if the determination unit determines that the molding condition is inappropriate, the molding condition output unit generates the production standard data and the molding condition as one set of feedback data, and trains the molding condition generation model with the set of feedback data.

Abstract: A storage device may receive an allocation command, from a host, requesting allocation of a target storage area accessible only to a target application among a plurality of applications running on the host. The storage device may set one or more of the plurality of memory blocks as the target storage area based on the allocation command, and control an operation on the target storage area based on feature information of the target storage area received from the host.

Abstract: Provided are optical devices and systems fabricated, at least in part, via printing-based assembly and integration of device components. In specific embodiments the present invention provides light emitting systems, light collecting systems, light sensing systems and photovoltaic systems comprising printable semiconductor elements, including large area, high performance macroelectronic devices. Optical systems of the present invention comprise semiconductor elements assembled, organized and/or integrated with other device components via printing techniques that exhibit performance characteristics and functionality comparable to single crystalline semiconductor based devices fabricated using conventional high temperature processing methods. Optical systems of the present invention have device geometries and configurations, such as form factors, component densities, and component positions, accessed by printing that provide a range of useful device functionalities.

Abstract: An energy-storage device may be provided by a module case in which a plurality of accommodation spaces are formed; a plurality of bare cells which are accommodated in the accommodation spaces respectively; and a cover which is coupled to the module case so as to cover the accommodation spaces, wherein: the module case comes into direct contact with the bare cells accommodated in the respective accommodation spaces to support the bare cells; and for each of the accommodation spaces, a pressure absorption ratio obtained by calculating the ratio of the volume of the bare cell to the volume of the accommodation space is 95% or less.

Abstract: The present invention relates to a linear dimmer for an LED lighting, which controls an illumination in an LED lighting apparatus, the linear dimmer including: a rectifier circuit unit full-wave rectifying a commercial alternating current (AC) power supplied from an input stage (AC line), and outputs a rectified current power; and a current control circuit unit connected to an output stage of the rectifier circuit unit, and controlling the rectified current power output by the rectifier circuit unit to a predetermined current magnitude, and outputting the predetermined current power to an LED lighting.

Abstract: Provided are a system and method for generating an image implemented in the same style as a style of a single image sample based on a result of learning the single image sample, the system including: an image learning unit configured to train a deep learning network model based on an image sample of a specific style to generate a same style generative model network; and an image generating unit configured to input a layout image to the same style generative model network to generate an image having the same style as the specific style image sample while conforming to a layout structure of the layout image.

Abstract: In one example, a semiconductor device can comprise a substrate, a device stack, first and second internal interconnects, and an encapsulant. The substrate can comprise a first and second substrate sides opposite each other, a substrate outer sidewall between the first substrate side and the second substrate side, and a substrate inner sidewall defining a cavity between the first substrate side and the second substrate side. The device stack can be in the cavity and can comprise a first electronic device, and a second electronic device stacked on the first electronic device. The first internal interconnect can be coupled to the substrate and the device stack. The encapsulant can cover the substrate inner sidewall and the device stack and can fill the cavity. Other examples and related methods are disclosed herein.

Abstract: One embodiment of the present invention provides a method of manufacturing an electronic device using a cyclic doping process including i) an operation of forming a unit transfer thin film including a two-dimensional material on a transfer substrate, ii) an operation of doping the unit transfer thin film in a low-damage doping process, iii) an operation of transferring the unit transfer thin film doped according to the operation ii) on a transfer target substrate, and iv) an operation of repeatedly performing the operations i) to iii) several times to reach a target thickness.

Abstract: The present invention provides an isotropic etching method of two-dimensional semiconductor materials. The present invention provides an isotropic etching method of two-dimensional semiconductor materials including a first operation of arranging an etching object having a two-dimensional transition metal chalcogenide layer inside an etching space of a remote plasma system in which a discharge space and the etching space are separated, a second operation of extracting oxygen or halogen radical among plasma generated in the discharge space and reacting the two-dimensional transition metal chalcogenide layer with a surface to form an oxide layer and a radical adsorbate layer, and a third operation of selectively removing the oxide layer and the radical adsorbate layer in the etching space, wherein only an upper layer of the two-dimensional transition metal chalcogenide is precisely etched in units of atoms without defects and damage in a lower layer.

Abstract: A neural network device for learning dependency of feature data includes: a memory in which at least one program is stored; and a processor that performs a calculation by executing the at least one program, in which the processor is configured to acquire graph information including a data node for a human body; extract feature data corresponding to a plurality of joints constituting the human body from the graph information; acquire a self-attention output corresponding to the feature data based on a self-attention mechanism; and generate result data for a motion of the human body based on the self-attention output, and the self-attention output includes position information acquired based on positional encoding of the feature data and structural information acquired based on geodesic encoding of the feature data.

Abstract: One embodiment of the present invention provides a method of manufacturing an electronic device using a cyclic doping process including i) an operation of forming a unit transfer thin film including a two-dimensional material on a transfer substrate, ii) an operation of doping the unit transfer thin film in a low-damage doping process, iii) an operation of transferring the unit transfer thin film doped according to the operation ii) on a transfer target substrate, and iv) an operation of repeatedly performing the operations i) to iii) several times to reach a target thickness.

Abstract: In one example, a semiconductor device can comprise a substrate, a device stack, first and second internal interconnects, and an encapsulant. The substrate can comprise a first and second substrate sides opposite each other, a substrate outer sidewall between the first substrate side and the second substrate side, and a substrate inner sidewall defining a cavity between the first substrate side and the second substrate side. The device stack can be in the cavity and can comprise a first electronic device, and a second electronic device stacked on the first electronic device. The first internal interconnect can be coupled to the substrate and the device stack. The encapsulant can cover the substrate inner sidewall and the device stack and can fill the cavity. Other examples and related methods are disclosed herein.

Abstract: A method of generating a moving viewpoint motion picture, which is performed by a processor that executes at least one instruction stored in a memory, may comprise: obtaining an input image; generating a trimap from the input image; generating a depth map using the input image; generating a foreground mesh/texture map model based on a foreground alpha map obtained based on the trimap and foreground depth information obtained based on the trimap and the depth map; and generating a moving viewpoint motion picture based on the foreground mesh/texture map model.

Abstract: A memory system includes memory blocks and a controller. The controller configured to perform a wear levelling operation on the memory blocks based on a reference count table and an erase count table.

Abstract: A method and apparatus for generating a face-harmonized image are disclosed. The method of generating a face-harmonized image includes receiving an input image, extracting facial landmarks from a target image and the input image, generating a face-removed image of the target image based on a facial mask region, extracting a user face image from the input image, transforming the user face image to correspond to the facial mask region, generating a face-blended image by blending the transformed user face image with the target image, extracting a feature map of the face-blended image, generating a combined feature map based on the feature map of the face-blended image and a feature map of the target image, generating a face harmonization result image based on the combined feature map, and providing the generated face harmonization result image.

Abstract: An electronic shift lever is provided and includes a housing which accommodates various components therein. A motor unit generates a driving force and a reduction unit is connected to the motor unit. The reduction unit is configured to increase the driving force generated from the motor unit. The motor unit and the reduction unit are accommodated inside the housing and are formed integrally with each other.

Abstract: Disclosed herein are an apparatus and method for image outpainting based on learning of a single input image. The apparatus generates multiple extended images from an input image using multiple noise vectors, inputs a first extended image, among the multiple extended images, the input image, and an image acquired by horizontally flipping the input image and thereby trains a discriminator network such that the loss of a generative adversarial network is minimized, and learns the multiple extended images such that the sum of two differences is minimized, the first one being the difference between the input image and the center region of a second extended image, and the second one being the difference between images acquired by vertically segmenting the input image and flipping the segments and the left and right regions of a third extended image.

Abstract: The present invention relates to a method for manufacturing a surface-enhanced Raman scattering substrate, a urine pretreatment method, and a method for providing information required for cancer diagnosis through urine metabolite analysis using same.

Abstract: In one example, a semiconductor device can comprise a substrate, a device stack, first and second internal interconnects, and an encapsulant. The substrate can comprise a first and second substrate sides opposite each other, a substrate outer sidewall between the first substrate side and the second substrate side, and a substrate inner sidewall defining a cavity between the first substrate side and the second substrate side. The device stack can be in the cavity and can comprise a first electronic device, and a second electronic device stacked on the first electronic device. The first internal interconnect can be coupled to the substrate and the device stack. The encapsulant can cover the substrate inner sidewall and the device stack and can fill the cavity. Other examples and related methods are disclosed herein.